Vulnerability analysis of captcha using Deep learning

arXiv:2302.09389v2 Announce Type: replace
Abstract: Several websites improve their security and avoid dangerous Internet attacks by implementing CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart), a type of verification to identify whether the end-user is human or a robot. The most prevalent type of CAPTCHA is text-based, designed to be easily recognized by humans while being unsolvable towards machines or robots. However, as deep learning technology progresses, development of convolutional neural network (CNN) models that predict …

analysis arxiv attacks automated captcha captchas computers cs.ai cs.cr cs.cv cs.lg deep learning end human humans identify internet prevalent public robot security test text turing turing test verification vulnerability vulnerability analysis websites